To help researchers better predict high-yielding crop traits, a team have stacked together six high-powered, machine learning algorithms that are used to interpret hyperspectral data -- and they ...

Then, they tasked the neural network with predicting yield. “We developed methodology using deep learning to generate yield predictions,” said Nicolas Martin, co-author of the research and an ...

FAYETTEVILLE, Ark. — A new machine-learning model for predicting crop yield using environmental data and genetic information can be used to develop new, higher-performing crop varieties. Igor ...

Ensemble models, comprising multiple algorithms or simulations to improve prediction accuracy, are increasingly being applied ...

Scientists improve yield predictions based on seedling data. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2020 / 01 / 200108131725.htm ...

Startups focused on agriculture and aquaculture technology are turning to cloud-based machine-learning services to process and analyze data so they can give customers better predictions on ...

Winemaking giant Treasury Wine Estates has partnered with agtech start-up The Yield and Yamaha to better predict grape yield and improve autonomous crop spraying using robots. The 18-month project ...